{"id":"W1606840679","doi":"10.1109/icra.2015.7139033","title":"Conservative to confident: Treating uncertainty robustly within Learning-Based Control","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Robust control; Control theory (sociology); Bounding overwatch; Model predictive control; Gaussian process; Robustness (evolution); Artificial intelligence; Gaussian; Control system; Control (management); Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002438379,0.001242359,0.001050851,0.0004173564,0.0004158964,0.001361272,0.001510579,0.000954081,0.0007895025],"category_scores_gemma":[0.008366528,0.0005525972,0.0005493197,0.0004138821,0.001757598,0.001854835,0.002078918,0.001690377,0.0001967307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008716501,"about_ca_system_score_gemma":0.001039052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003010859,"about_ca_topic_score_gemma":0.001605173,"domain_scores_codex":[0.9982471,0.000488789,0.00007926723,0.0003538846,0.0006593459,0.0001715763],"domain_scores_gemma":[0.9965612,0.002071017,0.000482498,0.0004815487,0.0003326102,0.00007116872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007216143,0.0000292789,0.0002920997,0.00005578809,0.00003037792,0.00004744355,0.00008642763,0.9455439,0.002220394,0.01543732,0.0003238544,0.03586092],"study_design_scores_gemma":[0.000005729648,0.00005148556,0.00007205258,0.000006813755,0.000005250815,0.000009664213,0.000005370385,0.9906203,0.0008240749,0.008108595,0.0002833235,0.000007339731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009197705,0.0001649431,0.9888396,0.0001338811,0.00001513599,0.00001958923,0.00001364367,0.0002506218,0.001364847],"genre_scores_gemma":[0.9138263,0.0001947613,0.08411215,0.000169157,0.00007621765,0.0001018384,0.00004503322,0.0001185004,0.00135591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003010859,"threshold_uncertainty_score":0.01289552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464265838973946,"score_gpt":0.2245322341289538,"score_spread":0.2098895757392144,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}